TablEye: Seeing small Tables through the Lens of Images Jul 4, 2023 Few-Shot Learning
— Unverified 0 Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces Nov 16, 2023 Decoder Few-Shot Learning
— Unverified 0 Tackling Non-forgetting and Forward Transfer with a Unified Lifelong Learning Approach Jun 12, 2020 Few-Shot Learning Lifelong learning
— Unverified 0 TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition Apr 21, 2020 3D Face Reconstruction Action Detection
— Unverified 0 Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Oct 24, 2024 Few-Shot Learning Specificity
— Unverified 0 Target-Free Compound Activity Prediction via Few-Shot Learning Nov 27, 2023 Activity Prediction Drug Discovery
— Unverified 0 Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification Mar 18, 2020 Classification Clustering
— Unverified 0 Task-Adaptive Feature Transformer for Few-Shot Segmentation Oct 22, 2020 Few-Shot Learning Segmentation
— Unverified 0 Task-Adaptive Feature Transformer with Semantic Enrichment for Few-Shot Segmentation Feb 14, 2022 Few-Shot Learning Segmentation
— Unverified 0 Task-Agnostic Meta-Learning for Few-shot Learning May 20, 2018 Classification Few-Shot Learning
— Unverified 0 Task Agnostic Meta-Learning for Few-Shot Learning Jun 1, 2019 Few-Shot Learning General Classification
— Unverified 0 Task Attended Meta-Learning for Few-Shot Learning Jun 20, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 Task-aware Adaptive Learning for Cross-domain Few-shot Learning Jan 1, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Task-Aware Meta Learning-based Siamese Neural Network for Classifying Obfuscated Malware Oct 26, 2021 Few-Shot Learning Malware Detection
— Unverified 0 Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems Oct 7, 2023 Computational Efficiency Few-Shot Learning
— Unverified 0 Task-Aware Part Mining Network for Few-Shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification May 30, 2022 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Task-Specific Preconditioner for Cross-Domain Few-Shot Learning Dec 20, 2024 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Task Weighting in Meta-learning with Trajectory Optimisation Jan 4, 2023 Few-Shot Learning Meta-Learning
— Unverified 0 TEAM UFAL @ CreativeSumm 2022: BART and SamSum based few-shot approach for creative Summarization Oct 1, 2022 Few-Shot Learning
— Unverified 0 Technical Report -- Competition Solution for Prompt Tuning using Pretrained Language Model Dec 13, 2022 Few-Shot Learning Language Modeling
— Unverified 0 Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE Nov 16, 2022 Few-Shot Learning Language Modelling
— Unverified 0 Template-free Prompt Tuning for Few-shot NER Jan 16, 2022 Few-Shot Learning Few-shot NER
— Unverified 0 Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Oct 30, 2022 Action Recognition Dynamic Time Warping
— Unverified 0 Text2VP: Generative AI for Visual Programming and Parametric Modeling Jun 9, 2024 Few-Shot Learning
— Unverified 0 Text Augmented Correlation Transformer For Few-shot Classification & Segmentation Jan 1, 2025 Few-Shot Classification and Segmentation Few-Shot Learning
— Unverified 0 Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan Apr 20, 2024 Few-Shot Learning Multi-Task Learning
— Unverified 0 Texture Bias Of CNNs Limits Few-Shot Classification Performance Oct 18, 2019 Classification Few-Shot Learning
— Unverified 0 The ADAIO System at the BEA-2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues Jun 8, 2023 Few-Shot Learning Response Generation
— Unverified 0 The broader spectrum of in-context learning Dec 5, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Aug 2, 2022 Diversity Few-Shot Learning
— Unverified 0 The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence Dec 24, 2021 Diversity Few-Shot Learning
— Unverified 0 The effects of negative adaptation in Model-Agnostic Meta-Learning Dec 5, 2018 Few-Shot Learning Meta-Learning
— Unverified 0 The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning Jun 5, 2025 Few-Shot Learning Hippocampus
— Unverified 0 Theoretical bounds on estimation error for meta-learning Oct 14, 2020 Few-Shot Learning Meta-Learning
— Unverified 0 The Role of Global Labels in Few-Shot Classification and How to Infer Them Aug 9, 2021 Few-Shot Learning Meta-Learning
— Unverified 0 The Role of Recurrency in Image Segmentation for Noisy and Limited Sample Settings Dec 20, 2024 Few-Shot Learning Image Segmentation
— Unverified 0 The Sample Complexity of Meta Sparse Regression Feb 22, 2020 Few-Shot Learning Meta-Learning
— Unverified 0 The Sample Complexity of Parameter-Free Stochastic Convex Optimization Jun 12, 2025 Few-Shot Learning Model Selection
— Unverified 0 Thespian: Multi-Character Text Role-Playing Game Agents Aug 3, 2023 Few-Shot Learning
— Unverified 0 The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT Nov 1, 2020 Few-Shot Learning Machine Translation
— Unverified 0 The unreasonable effectiveness of few-shot learning for machine translation Feb 2, 2023 Decoder Few-Shot Learning
— Unverified 0 TinyMetaFed: Efficient Federated Meta-Learning for TinyML Jul 13, 2023 Computational Efficiency Few-Shot Learning
— Unverified 0 ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection May 25, 2022 Cultural Vocal Bursts Intensity Prediction Few-Shot Learning
— Unverified 0 Topology-Aware CLIP Few-Shot Learning May 3, 2025 Few-Shot Learning
— Unverified 0 Data-Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks Sep 7, 2022 Few-Shot Learning regression
— Unverified 0 A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning Feb 5, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing Jul 27, 2020 Adversarial Attack Attribute
— Unverified 0 Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework Apr 24, 2023 Few-Shot Learning Matrix Completion
— Unverified 0 Towards a graph-based foundation model for network traffic analysis Sep 12, 2024 Few-Shot Learning Intrusion Detection
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